Dataset statistics
| Number of variables | 22 |
|---|---|
| Number of observations | 428 |
| Missing cells | 3510 |
| Missing cells (%) | 37.3% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 102.1 KiB |
| Average record size in memory | 244.3 B |
Variable types
| Numeric | 10 |
|---|---|
| Unsupported | 8 |
| Categorical | 4 |
adm has constant value "20.0" | Constant |
operation_car has constant value "13.0" | Constant |
operation_date has a high cardinality: 279 distinct values | High cardinality |
rodvag is highly correlated with operation_car and 1 other fields | High correlation |
operation_car is highly correlated with rodvag and 1 other fields | High correlation |
adm is highly correlated with rodvag and 1 other fields | High correlation |
index_train has 428 (100.0%) missing values | Missing |
danger has 428 (100.0%) missing values | Missing |
loaded has 428 (100.0%) missing values | Missing |
operation_st_esr has 43 (10.0%) missing values | Missing |
operation_st_id has 43 (10.0%) missing values | Missing |
operation_train has 428 (100.0%) missing values | Missing |
rod_train has 428 (100.0%) missing values | Missing |
ssp_station_esr has 428 (100.0%) missing values | Missing |
ssp_station_id has 428 (100.0%) missing values | Missing |
weight_brutto has 428 (100.0%) missing values | Missing |
df_index has unique values | Unique |
car_number has unique values | Unique |
index_train is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
danger is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
loaded is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
operation_train is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
rod_train is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
ssp_station_esr is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
ssp_station_id is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
weight_brutto is an unsupported type, check if it needs cleaning or further analysis | Unsupported |
receiver has 143 (33.4%) zeros | Zeros |
sender has 103 (24.1%) zeros | Zeros |
Reproduction
| Analysis started | 2021-04-16 09:37:47.561061 |
|---|---|
| Analysis finished | 2021-04-16 09:38:08.492320 |
| Duration | 20.93 seconds |
| Software version | pandas-profiling v2.11.0 |
| Download configuration | config.yaml |
| Distinct | 428 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2246478.082 |
|---|---|
| Minimum | 11081 |
| Maximum | 4163938 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 11081 |
|---|---|
| 5-th percentile | 343299.8 |
| Q1 | 1131633.75 |
| median | 2591860 |
| Q3 | 3292319.5 |
| 95-th percentile | 4014152.55 |
| Maximum | 4163938 |
| Range | 4152857 |
| Interquartile range (IQR) | 2160685.75 |
Descriptive statistics
| Standard deviation | 1248260.456 |
|---|---|
| Coefficient of variation (CV) | 0.5556521854 |
| Kurtosis | -1.293025121 |
| Mean | 2246478.082 |
| Median Absolute Deviation (MAD) | 1096911.5 |
| Skewness | -0.1568934861 |
| Sum | 961492619 |
| Variance | 1.558154165 × 1012 |
| Monotocity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2866180 | 1 | 0.2% |
| 2921149 | 1 | 0.2% |
| 3974308 | 1 | 0.2% |
| 2731697 | 1 | 0.2% |
| 2917040 | 1 | 0.2% |
| 3874479 | 1 | 0.2% |
| 2846381 | 1 | 0.2% |
| 3015199 | 1 | 0.2% |
| 371370 | 1 | 0.2% |
| 4017138 | 1 | 0.2% |
| Other values (418) | 418 |
| Value | Count | Frequency (%) |
| 11081 | 1 | |
| 11847 | 1 | |
| 12276 | 1 | |
| 12516 | 1 | |
| 12796 | 1 | |
| 13479 | 1 | |
| 13592 | 1 | |
| 14464 | 1 | |
| 14700 | 1 | |
| 17494 | 1 |
| Value | Count | Frequency (%) |
| 4163938 | 1 | |
| 4147633 | 1 | |
| 4111004 | 1 | |
| 4110631 | 1 | |
| 4102757 | 1 | |
| 4102574 | 1 | |
| 4097772 | 1 | |
| 4083113 | 1 | |
| 4067152 | 1 | |
| 4055756 | 1 |
length
Real number (ℝ≥0)
| Distinct | 6 |
|---|---|
| Distinct (%) | 1.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.249415888 |
|---|---|
| Minimum | 1 |
| Maximum | 1.85 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 1.41 |
| 95-th percentile | 1.85 |
| Maximum | 1.85 |
| Range | 0.85 |
| Interquartile range (IQR) | 0.41 |
Descriptive statistics
| Standard deviation | 0.3496326408 |
|---|---|
| Coefficient of variation (CV) | 0.2798368776 |
| Kurtosis | -0.977975317 |
| Mean | 1.249415888 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 0.9150809001 |
| Sum | 534.75 |
| Variance | 0.1222429835 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 1 | 230 | |
| 1.82 | 58 | 13.6% |
| 1.06 | 51 | 11.9% |
| 1.41 | 44 | 10.3% |
| 1.85 | 37 | 8.6% |
| 1.83 | 8 | 1.9% |
| Value | Count | Frequency (%) |
| 1 | 230 | |
| 1.06 | 51 | 11.9% |
| 1.41 | 44 | 10.3% |
| 1.82 | 58 | 13.6% |
| 1.83 | 8 | 1.9% |
| 1.85 | 37 | 8.6% |
| Value | Count | Frequency (%) |
| 1.85 | 37 | 8.6% |
| 1.83 | 8 | 1.9% |
| 1.82 | 58 | 13.6% |
| 1.41 | 44 | 10.3% |
| 1.06 | 51 | 11.9% |
| 1 | 230 |
| Distinct | 428 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 72474499.94 |
|---|---|
| Minimum | 42162669 |
| Maximum | 98096902 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 42162669 |
|---|---|
| 5-th percentile | 52765525.6 |
| Q1 | 55713091.5 |
| median | 61895837 |
| Q3 | 94484090.25 |
| 95-th percentile | 98037953.85 |
| Maximum | 98096902 |
| Range | 55934233 |
| Interquartile range (IQR) | 38770998.75 |
Descriptive statistics
| Standard deviation | 19040806.94 |
|---|---|
| Coefficient of variation (CV) | 0.2627242265 |
| Kurtosis | -1.767685953 |
| Mean | 72474499.94 |
| Median Absolute Deviation (MAD) | 8459214.5 |
| Skewness | 0.32127804 |
| Sum | 3.101908598 × 1010 |
| Variance | 3.62552329 × 1014 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 55150593 | 1 | 0.2% |
| 57808610 | 1 | 0.2% |
| 53470944 | 1 | 0.2% |
| 61099743 | 1 | 0.2% |
| 58753757 | 1 | 0.2% |
| 94539483 | 1 | 0.2% |
| 52723418 | 1 | 0.2% |
| 95086294 | 1 | 0.2% |
| 55773907 | 1 | 0.2% |
| 59188946 | 1 | 0.2% |
| Other values (418) | 418 |
| Value | Count | Frequency (%) |
| 42162669 | 1 | |
| 42301762 | 1 | |
| 42681635 | 1 | |
| 43348911 | 1 | |
| 52175866 | 1 | |
| 52188133 | 1 | |
| 52235066 | 1 | |
| 52266517 | 1 | |
| 52311081 | 1 | |
| 52503307 | 1 |
| Value | Count | Frequency (%) |
| 98096902 | 1 | |
| 98096894 | 1 | |
| 98096837 | 1 | |
| 98096779 | 1 | |
| 98096274 | 1 | |
| 98095730 | 1 | |
| 98095706 | 1 | |
| 98095649 | 1 | |
| 98087000 | 1 | |
| 98077076 | 1 |
destination_esr
Real number (ℝ≥0)
| Distinct | 37 |
|---|---|
| Distinct (%) | 8.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 687292.8435 |
|---|---|
| Minimum | 15805 |
| Maximum | 988306 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 15805 |
|---|---|
| 5-th percentile | 181102 |
| Q1 | 547302 |
| median | 817600 |
| Q3 | 817600 |
| 95-th percentile | 895703 |
| Maximum | 988306 |
| Range | 972501 |
| Interquartile range (IQR) | 270298 |
Descriptive statistics
| Standard deviation | 256585.1611 |
|---|---|
| Coefficient of variation (CV) | 0.3733272702 |
| Kurtosis | 0.1351110673 |
| Mean | 687292.8435 |
| Median Absolute Deviation (MAD) | 70003 |
| Skewness | -1.230644345 |
| Sum | 294161337 |
| Variance | 6.583594487 × 1010 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=37)
| Value | Count | Frequency (%) |
| 817600 | 140 | |
| 887603 | 45 | 10.5% |
| 181102 | 42 | 9.8% |
| 547302 | 24 | 5.6% |
| 797303 | 24 | 5.6% |
| 645100 | 22 | 5.1% |
| 988306 | 18 | 4.2% |
| 230506 | 18 | 4.2% |
| 895703 | 18 | 4.2% |
| 892103 | 11 | 2.6% |
| Other values (27) | 66 |
| Value | Count | Frequency (%) |
| 15805 | 1 | 0.2% |
| 18409 | 1 | 0.2% |
| 35508 | 2 | 0.5% |
| 35601 | 1 | 0.2% |
| 38205 | 3 | 0.7% |
| 181102 | 42 | |
| 181808 | 2 | 0.5% |
| 205307 | 3 | 0.7% |
| 205608 | 1 | 0.2% |
| 220504 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 988306 | 18 | 4.2% |
| 970001 | 1 | 0.2% |
| 895807 | 1 | 0.2% |
| 895703 | 18 | 4.2% |
| 892103 | 11 | 2.6% |
| 887603 | 45 | 10.5% |
| 850204 | 1 | 0.2% |
| 831203 | 1 | 0.2% |
| 817600 | 140 | |
| 797407 | 7 | 1.6% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.6 KiB |
| 20.0 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1712 |
|---|---|
| Distinct characters | 3 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 20.0 |
|---|---|
| 2nd row | 20.0 |
| 3rd row | 20.0 |
| 4th row | 20.0 |
| 5th row | 20.0 |
| Value | Count | Frequency (%) |
| 20.0 | 428 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 20.0 | 428 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 856 | |
| 2 | 428 | |
| . | 428 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1284 | |
| Other Punctuation | 428 | 25.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 856 | |
| 2 | 428 |
| Value | Count | Frequency (%) |
| . | 428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1712 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 856 | |
| 2 | 428 | |
| . | 428 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1712 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 856 | |
| 2 | 428 | |
| . | 428 |
gruz
Real number (ℝ≥0)
| Distinct | 13 |
|---|---|
| Distinct (%) | 3.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 326531.9206 |
|---|---|
| Minimum | 3009 |
| Maximum | 693176 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 3009 |
|---|---|
| 5-th percentile | 3009 |
| Q1 | 3009 |
| median | 351043 |
| Q3 | 693176 |
| 95-th percentile | 693176 |
| Maximum | 693176 |
| Range | 690167 |
| Interquartile range (IQR) | 690167 |
Descriptive statistics
| Standard deviation | 269724.0541 |
|---|---|
| Coefficient of variation (CV) | 0.8260266061 |
| Kurtosis | -1.401900099 |
| Mean | 326531.9206 |
| Median Absolute Deviation (MAD) | 342133 |
| Skewness | 0.1251166908 |
| Sum | 139755662 |
| Variance | 7.275106538 × 1010 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=13)
| Value | Count | Frequency (%) |
| 3009 | 136 | |
| 693176 | 116 | |
| 391483 | 57 | |
| 241604 | 24 | 5.6% |
| 323024 | 24 | 5.6% |
| 151060 | 18 | 4.2% |
| 412196 | 15 | 3.5% |
| 351306 | 13 | 3.0% |
| 351043 | 12 | 2.8% |
| 452333 | 8 | 1.9% |
| Other values (3) | 5 | 1.2% |
| Value | Count | Frequency (%) |
| 3009 | 136 | |
| 151060 | 18 | 4.2% |
| 241604 | 24 | 5.6% |
| 323024 | 24 | 5.6% |
| 323058 | 3 | 0.7% |
| 351039 | 1 | 0.2% |
| 351043 | 12 | 2.8% |
| 351306 | 13 | 3.0% |
| 391483 | 57 | |
| 412196 | 15 | 3.5% |
| Value | Count | Frequency (%) |
| 693176 | 116 | |
| 452333 | 8 | 1.9% |
| 452028 | 1 | 0.2% |
| 412196 | 15 | 3.5% |
| 391483 | 57 | |
| 351306 | 13 | 3.0% |
| 351043 | 12 | 2.8% |
| 351039 | 1 | 0.2% |
| 323058 | 3 | 0.7% |
| 323024 | 24 | 5.6% |
| Distinct | 1 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.6 KiB |
| 13.0 |
|---|
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1712 |
|---|---|
| Distinct characters | 4 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 13.0 |
|---|---|
| 2nd row | 13.0 |
| 3rd row | 13.0 |
| 4th row | 13.0 |
| 5th row | 13.0 |
| Value | Count | Frequency (%) |
| 13.0 | 428 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 13.0 | 428 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 428 | |
| 3 | 428 | |
| . | 428 | |
| 0 | 428 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1284 | |
| Other Punctuation | 428 | 25.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 1 | 428 | |
| 3 | 428 | |
| 0 | 428 |
| Value | Count | Frequency (%) |
| . | 428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1712 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 1 | 428 | |
| 3 | 428 | |
| . | 428 | |
| 0 | 428 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1712 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 1 | 428 | |
| 3 | 428 | |
| . | 428 | |
| 0 | 428 |
| Distinct | 279 |
|---|---|
| Distinct (%) | 65.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 31.9 KiB |
| 2020-07-04 14:31:00 | 16 |
|---|---|
| 2020-07-02 02:15:00 | 15 |
| 2020-07-10 16:17:00 | 15 |
| 2020-07-22 10:28:00 | 13 |
| 2020-07-26 04:00:00 | 10 |
| Other values (274) |
Length
| Max length | 19 |
|---|---|
| Median length | 19 |
| Mean length | 19 |
| Min length | 19 |
Characters and Unicode
| Total characters | 8132 |
|---|---|
| Distinct characters | 13 |
| Distinct categories | 4 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 232 ? |
|---|---|
| Unique (%) | 54.2% |
Sample
| 1st row | 2020-07-16 15:42:00 |
|---|---|
| 2nd row | 2020-07-15 21:29:00 |
| 3rd row | 2020-07-15 21:15:00 |
| 4th row | 2020-07-16 13:31:00 |
| 5th row | 2020-07-16 17:10:00 |
| Value | Count | Frequency (%) |
| 2020-07-04 14:31:00 | 16 | 3.7% |
| 2020-07-02 02:15:00 | 15 | 3.5% |
| 2020-07-10 16:17:00 | 15 | 3.5% |
| 2020-07-22 10:28:00 | 13 | 3.0% |
| 2020-07-26 04:00:00 | 10 | 2.3% |
| 2020-07-26 06:23:00 | 9 | 2.1% |
| 2020-07-26 03:55:00 | 8 | 1.9% |
| 2020-07-23 14:55:00 | 7 | 1.6% |
| 2020-07-17 21:03:00 | 6 | 1.4% |
| 2020-07-02 02:09:00 | 5 | 1.2% |
| Other values (269) | 324 |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 2020-07-15 | 45 | 5.3% |
| 2020-07-26 | 35 | 4.1% |
| 2020-07-22 | 31 | 3.6% |
| 2020-07-02 | 26 | 3.0% |
| 2020-07-30 | 24 | 2.8% |
| 2020-07-17 | 24 | 2.8% |
| 2020-07-12 | 23 | 2.7% |
| 2020-07-16 | 20 | 2.3% |
| 2020-07-23 | 20 | 2.3% |
| 2020-07-19 | 19 | 2.2% |
| Other values (260) | 589 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 2595 | |
| 2 | 1262 | |
| - | 856 | 10.5% |
| : | 856 | 10.5% |
| 1 | 581 | 7.1% |
| 7 | 565 | 6.9% |
| 428 | 5.3% | |
| 3 | 243 | 3.0% |
| 5 | 227 | 2.8% |
| 6 | 170 | 2.1% |
| Other values (3) | 349 | 4.3% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 5992 | |
| Dash Punctuation | 856 | 10.5% |
| Other Punctuation | 856 | 10.5% |
| Space Separator | 428 | 5.3% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 2595 | |
| 2 | 1262 | |
| 1 | 581 | 9.7% |
| 7 | 565 | 9.4% |
| 3 | 243 | 4.1% |
| 5 | 227 | 3.8% |
| 6 | 170 | 2.8% |
| 4 | 161 | 2.7% |
| 8 | 104 | 1.7% |
| 9 | 84 | 1.4% |
| Value | Count | Frequency (%) |
| - | 856 |
| Value | Count | Frequency (%) |
| 428 |
| Value | Count | Frequency (%) |
| : | 856 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 8132 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 2595 | |
| 2 | 1262 | |
| - | 856 | 10.5% |
| : | 856 | 10.5% |
| 1 | 581 | 7.1% |
| 7 | 565 | 6.9% |
| 428 | 5.3% | |
| 3 | 243 | 3.0% |
| 5 | 227 | 2.8% |
| 6 | 170 | 2.1% |
| Other values (3) | 349 | 4.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 8132 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 2595 | |
| 2 | 1262 | |
| - | 856 | 10.5% |
| : | 856 | 10.5% |
| 1 | 581 | 7.1% |
| 7 | 565 | 6.9% |
| 428 | 5.3% | |
| 3 | 243 | 3.0% |
| 5 | 227 | 2.8% |
| 6 | 170 | 2.1% |
| Other values (3) | 349 | 4.3% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 43 |
| Missing (%) | 10.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 963201.5844 |
|---|---|
| Minimum | 891909 |
| Maximum | 986103 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 891909 |
|---|---|
| 5-th percentile | 891909 |
| Q1 | 980200 |
| median | 980200 |
| Q3 | 980709 |
| 95-th percentile | 986103 |
| Maximum | 986103 |
| Range | 94194 |
| Interquartile range (IQR) | 509 |
Descriptive statistics
| Standard deviation | 34056.83059 |
|---|---|
| Coefficient of variation (CV) | 0.03535794702 |
| Kurtosis | 0.1977035368 |
| Mean | 963201.5844 |
| Median Absolute Deviation (MAD) | 509 |
| Skewness | -1.411196694 |
| Sum | 370832610 |
| Variance | 1159867710 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 980200 | 119 | |
| 891909 | 60 | |
| 980605 | 42 | 9.8% |
| 980709 | 40 | 9.3% |
| 927209 | 31 | 7.2% |
| 986103 | 26 | 6.1% |
| 985100 | 24 | 5.6% |
| 980501 | 22 | 5.1% |
| 984700 | 18 | 4.2% |
| 980107 | 3 | 0.7% |
| (Missing) | 43 | 10.0% |
| Value | Count | Frequency (%) |
| 891909 | 60 | |
| 927209 | 31 | 7.2% |
| 980107 | 3 | 0.7% |
| 980200 | 119 | |
| 980501 | 22 | 5.1% |
| 980605 | 42 | 9.8% |
| 980709 | 40 | 9.3% |
| 984700 | 18 | 4.2% |
| 985100 | 24 | 5.6% |
| 986103 | 26 | 6.1% |
| Value | Count | Frequency (%) |
| 986103 | 26 | 6.1% |
| 985100 | 24 | 5.6% |
| 984700 | 18 | 4.2% |
| 980709 | 40 | 9.3% |
| 980605 | 42 | 9.8% |
| 980501 | 22 | 5.1% |
| 980200 | 119 | |
| 980107 | 3 | 0.7% |
| 927209 | 31 | 7.2% |
| 891909 | 60 |
| Distinct | 10 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 43 |
| Missing (%) | 10.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2001809383 |
|---|---|
| Minimum | 2000038848 |
| Maximum | 2002030157 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 2000038848 |
|---|---|
| 5-th percentile | 2000038848 |
| Q1 | 2002024431 |
| median | 2002025607 |
| Q3 | 2002025651 |
| 95-th percentile | 2002030157 |
| Maximum | 2002030157 |
| Range | 1991309 |
| Interquartile range (IQR) | 1220 |
Descriptive statistics
| Standard deviation | 620367.2615 |
|---|---|
| Coefficient of variation (CV) | 0.0003099032638 |
| Kurtosis | 4.360967968 |
| Mean | 2001809383 |
| Median Absolute Deviation (MAD) | 778 |
| Skewness | -2.517587851 |
| Sum | 7.706966126 × 1011 |
| Variance | 3.848555392 × 1011 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 2002025607 | 119 | |
| 2002024431 | 60 | |
| 2000038848 | 42 | 9.8% |
| 2002030133 | 40 | 9.3% |
| 2002024829 | 31 | 7.2% |
| 2002025661 | 26 | 6.1% |
| 2002030157 | 24 | 5.6% |
| 2002025609 | 22 | 5.1% |
| 2002025651 | 18 | 4.2% |
| 2002025605 | 3 | 0.7% |
| (Missing) | 43 | 10.0% |
| Value | Count | Frequency (%) |
| 2000038848 | 42 | 9.8% |
| 2002024431 | 60 | |
| 2002024829 | 31 | 7.2% |
| 2002025605 | 3 | 0.7% |
| 2002025607 | 119 | |
| 2002025609 | 22 | 5.1% |
| 2002025651 | 18 | 4.2% |
| 2002025661 | 26 | 6.1% |
| 2002030133 | 40 | 9.3% |
| 2002030157 | 24 | 5.6% |
| Value | Count | Frequency (%) |
| 2002030157 | 24 | 5.6% |
| 2002030133 | 40 | 9.3% |
| 2002025661 | 26 | 6.1% |
| 2002025651 | 18 | 4.2% |
| 2002025609 | 22 | 5.1% |
| 2002025607 | 119 | |
| 2002025605 | 3 | 0.7% |
| 2002024829 | 31 | 7.2% |
| 2002024431 | 60 | |
| 2000038848 | 42 | 9.8% |
| Distinct | 14 |
|---|---|
| Distinct (%) | 3.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9949365.22 |
|---|---|
| Minimum | 0 |
| Maximum | 95687583 |
| Zeros | 143 |
| Zeros (%) | 33.4% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 186424 |
| Q3 | 16111351 |
| 95-th percentile | 48962205 |
| Maximum | 95687583 |
| Range | 95687583 |
| Interquartile range (IQR) | 16111351 |
Descriptive statistics
| Standard deviation | 21340115.67 |
|---|---|
| Coefficient of variation (CV) | 2.14487208 |
| Kurtosis | 8.702955192 |
| Mean | 9949365.22 |
| Median Absolute Deviation (MAD) | 186424 |
| Skewness | 2.953674798 |
| Sum | 4258328314 |
| Variance | 4.55400537 × 1014 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=14)
| Value | Count | Frequency (%) |
| 0 | 143 | |
| 186424 | 140 | |
| 16111351 | 42 | 9.8% |
| 5753490 | 31 | 7.2% |
| 29317054 | 22 | 5.1% |
| 29381833 | 18 | 4.2% |
| 95687583 | 18 | 4.2% |
| 48962205 | 3 | 0.7% |
| 186849 | 3 | 0.7% |
| 67736348 | 3 | 0.7% |
| Other values (4) | 5 | 1.2% |
| Value | Count | Frequency (%) |
| 0 | 143 | |
| 186424 | 140 | |
| 186803 | 1 | 0.2% |
| 186849 | 3 | 0.7% |
| 5753490 | 31 | 7.2% |
| 16111351 | 42 | 9.8% |
| 16146214 | 1 | 0.2% |
| 29317054 | 22 | 5.1% |
| 29381833 | 18 | 4.2% |
| 30486299 | 1 | 0.2% |
| Value | Count | Frequency (%) |
| 95687583 | 18 | |
| 67736348 | 3 | 0.7% |
| 48962205 | 3 | 0.7% |
| 41746912 | 2 | 0.5% |
| 30486299 | 1 | 0.2% |
| 29381833 | 18 | |
| 29317054 | 22 | |
| 16146214 | 1 | 0.2% |
| 16111351 | 42 | |
| 5753490 | 31 |
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.7% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 25.6 KiB |
| 60.0 | |
|---|---|
| 96.0 | |
| 40.0 | 6 |
Length
| Max length | 4 |
|---|---|
| Median length | 4 |
| Mean length | 4 |
| Min length | 4 |
Characters and Unicode
| Total characters | 1712 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 2 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 96.0 |
|---|---|
| 2nd row | 96.0 |
| 3rd row | 96.0 |
| 4th row | 96.0 |
| 5th row | 96.0 |
| Value | Count | Frequency (%) |
| 60.0 | 230 | |
| 96.0 | 192 | |
| 40.0 | 6 | 1.4% |
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| 60.0 | 230 | |
| 96.0 | 192 | |
| 40.0 | 6 | 1.4% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 664 | |
| . | 428 | |
| 6 | 422 | |
| 9 | 192 | 11.2% |
| 4 | 6 | 0.4% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 1284 | |
| Other Punctuation | 428 | 25.0% |
Most frequent character per category
| Value | Count | Frequency (%) |
| 0 | 664 | |
| 6 | 422 | |
| 9 | 192 | 15.0% |
| 4 | 6 | 0.5% |
| Value | Count | Frequency (%) |
| . | 428 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 1712 |
Most frequent character per script
| Value | Count | Frequency (%) |
| 0 | 664 | |
| . | 428 | |
| 6 | 422 | |
| 9 | 192 | 11.2% |
| 4 | 6 | 0.4% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1712 |
Most frequent character per block
| Value | Count | Frequency (%) |
| 0 | 664 | |
| . | 428 | |
| 6 | 422 | |
| 9 | 192 | 11.2% |
| 4 | 6 | 0.4% |
| Distinct | 11 |
|---|---|
| Distinct (%) | 2.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 11102101.03 |
|---|---|
| Minimum | 0 |
| Maximum | 74981099 |
| Zeros | 103 |
| Zeros (%) | 24.1% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 1125133 |
| median | 1126016 |
| Q3 | 10238843 |
| 95-th percentile | 73262854 |
| Maximum | 74981099 |
| Range | 74981099 |
| Interquartile range (IQR) | 9113710 |
Descriptive statistics
| Standard deviation | 20584041.56 |
|---|---|
| Coefficient of variation (CV) | 1.854067217 |
| Kurtosis | 4.203037918 |
| Mean | 11102101.03 |
| Median Absolute Deviation (MAD) | 1126016 |
| Skewness | 2.304337655 |
| Sum | 4751699242 |
| Variance | 4.237027671 × 1014 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 1126016 | 118 | |
| 0 | 103 | |
| 10238843 | 64 | |
| 3144627 | 31 | 7.2% |
| 73262854 | 26 | 6.1% |
| 1125133 | 24 | 5.6% |
| 27036995 | 24 | 5.6% |
| 31170931 | 18 | 4.2% |
| 1373772 | 10 | 2.3% |
| 74981099 | 9 | 2.1% |
| Value | Count | Frequency (%) |
| 0 | 103 | |
| 1125133 | 24 | 5.6% |
| 1126016 | 118 | |
| 1373772 | 10 | 2.3% |
| 3144627 | 31 | 7.2% |
| 10238843 | 64 | |
| 27036995 | 24 | 5.6% |
| 31170931 | 18 | 4.2% |
| 35690320 | 1 | 0.2% |
| 73262854 | 26 | 6.1% |
| Value | Count | Frequency (%) |
| 74981099 | 9 | 2.1% |
| 73262854 | 26 | 6.1% |
| 35690320 | 1 | 0.2% |
| 31170931 | 18 | 4.2% |
| 27036995 | 24 | 5.6% |
| 10238843 | 64 | |
| 3144627 | 31 | 7.2% |
| 1373772 | 10 | 2.3% |
| 1126016 | 118 | |
| 1125133 | 24 | 5.6% |
tare_weight
Real number (ℝ≥0)
| Distinct | 41 |
|---|---|
| Distinct (%) | 9.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 237.1285047 |
|---|---|
| Minimum | 194 |
| Maximum | 261 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Memory size | 3.5 KiB |
Quantile statistics
| Minimum | 194 |
|---|---|
| 5-th percentile | 208.35 |
| Q1 | 235 |
| median | 240 |
| Q3 | 243 |
| 95-th percentile | 250 |
| Maximum | 261 |
| Range | 67 |
| Interquartile range (IQR) | 8 |
Descriptive statistics
| Standard deviation | 12.76796454 |
|---|---|
| Coefficient of variation (CV) | 0.05384407312 |
| Kurtosis | 3.094479163 |
| Mean | 237.1285047 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | -1.746332389 |
| Sum | 101491 |
| Variance | 163.0209186 |
| Monotocity | Not monotonic |
Histogram with fixed size bins (bins=41)
| Value | Count | Frequency (%) |
| 250 | 88 | |
| 240 | 82 | |
| 238 | 33 | 7.7% |
| 235 | 31 | 7.2% |
| 243 | 18 | 4.2% |
| 242 | 18 | 4.2% |
| 233 | 17 | 4.0% |
| 239 | 16 | 3.7% |
| 241 | 13 | 3.0% |
| 195 | 10 | 2.3% |
| Other values (31) | 102 |
| Value | Count | Frequency (%) |
| 194 | 2 | 0.5% |
| 195 | 10 | |
| 196 | 3 | 0.7% |
| 200 | 3 | 0.7% |
| 205 | 1 | 0.2% |
| 206 | 1 | 0.2% |
| 207 | 1 | 0.2% |
| 208 | 1 | 0.2% |
| 209 | 2 | 0.5% |
| 210 | 10 |
| Value | Count | Frequency (%) |
| 261 | 1 | 0.2% |
| 250 | 88 | |
| 248 | 2 | 0.5% |
| 247 | 1 | 0.2% |
| 246 | 3 | 0.7% |
| 245 | 5 | 1.2% |
| 244 | 6 | 1.4% |
| 243 | 18 | 4.2% |
| 242 | 18 | 4.2% |
| 241 | 13 | 3.0% |
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.
First rows
| df_index | index_train | length | car_number | destination_esr | adm | danger | gruz | loaded | operation_car | operation_date | operation_st_esr | operation_st_id | operation_train | receiver | rodvag | rod_train | sender | ssp_station_esr | ssp_station_id | tare_weight | weight_brutto | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 11081 | NaN | 1.06 | 94496304 | 525407.0 | 20.0 | NaN | 3009.0 | NaN | 13.0 | 2020-07-16 15:42:00 | 980107.0 | 2.002026e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 195.0 | NaN |
| 1 | 11847 | NaN | 1.83 | 94644499 | 35601.0 | 20.0 | NaN | 3009.0 | NaN | 13.0 | 2020-07-15 21:29:00 | 986103.0 | 2.002026e+09 | NaN | 48962205.0 | 96.0 | NaN | 73262854.0 | NaN | NaN | 246.0 | NaN |
| 2 | 12276 | NaN | 1.83 | 94694692 | 35508.0 | 20.0 | NaN | 3009.0 | NaN | 13.0 | 2020-07-15 21:15:00 | 986103.0 | 2.002026e+09 | NaN | 48962205.0 | 96.0 | NaN | 73262854.0 | NaN | NaN | 248.0 | NaN |
| 3 | 12516 | NaN | 1.41 | 94778487 | 892103.0 | 20.0 | NaN | 391483.0 | NaN | 13.0 | 2020-07-16 13:31:00 | 891909.0 | 2.002024e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 246.0 | NaN |
| 4 | 12796 | NaN | 1.41 | 94798659 | 525407.0 | 20.0 | NaN | 3009.0 | NaN | 13.0 | 2020-07-16 17:10:00 | 980709.0 | 2.002030e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 240.0 | NaN |
| 5 | 13479 | NaN | 1.06 | 94292455 | 525407.0 | 20.0 | NaN | 3009.0 | NaN | 13.0 | 2020-07-16 17:15:00 | 980709.0 | 2.002030e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 240.0 | NaN |
| 6 | 13592 | NaN | 1.06 | 94309887 | 887603.0 | 20.0 | NaN | 391483.0 | NaN | 13.0 | 2020-07-16 11:57:00 | 891909.0 | 2.002024e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 220.0 | NaN |
| 7 | 14464 | NaN | 1.06 | 94430402 | 887603.0 | 20.0 | NaN | 391483.0 | NaN | 13.0 | 2020-07-16 13:00:00 | 891909.0 | 2.002024e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 207.0 | NaN |
| 8 | 14700 | NaN | 1.06 | 94451457 | 887603.0 | 20.0 | NaN | 391483.0 | NaN | 13.0 | 2020-07-16 12:35:00 | 891909.0 | 2.002024e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 195.0 | NaN |
| 9 | 17494 | NaN | 1.41 | 94849841 | 887603.0 | 20.0 | NaN | 391483.0 | NaN | 13.0 | 2020-07-16 11:37:00 | 891909.0 | 2.002024e+09 | NaN | 0.0 | 96.0 | NaN | 0.0 | NaN | NaN | 240.0 | NaN |
Last rows
| df_index | index_train | length | car_number | destination_esr | adm | danger | gruz | loaded | operation_car | operation_date | operation_st_esr | operation_st_id | operation_train | receiver | rodvag | rod_train | sender | ssp_station_esr | ssp_station_id | tare_weight | weight_brutto | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 418 | 4055756 | NaN | 1.00 | 52235066 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 08:46:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 238.0 | NaN |
| 419 | 4067152 | NaN | 1.06 | 42162669 | 700308.0 | 20.0 | NaN | 351043.0 | NaN | 13.0 | 2020-07-16 14:28:00 | 980200.0 | 2.002026e+09 | NaN | 0.0 | 40.0 | NaN | 1126016.0 | NaN | NaN | 211.0 | NaN |
| 420 | 4083113 | NaN | 1.06 | 54448576 | 700308.0 | 20.0 | NaN | 351043.0 | NaN | 13.0 | 2020-07-16 14:25:00 | 980200.0 | 2.002026e+09 | NaN | 0.0 | 40.0 | NaN | 1126016.0 | NaN | NaN | 211.0 | NaN |
| 421 | 4097772 | NaN | 1.00 | 53415550 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 06:26:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 233.0 | NaN |
| 422 | 4102574 | NaN | 1.00 | 53475653 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 08:52:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 238.0 | NaN |
| 423 | 4102757 | NaN | 1.00 | 53487385 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 08:32:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 243.0 | NaN |
| 424 | 4110631 | NaN | 1.00 | 56876881 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 08:40:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 225.0 | NaN |
| 425 | 4111004 | NaN | 1.00 | 56923824 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 08:24:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 236.0 | NaN |
| 426 | 4147633 | NaN | 1.00 | 62178389 | 797303.0 | 20.0 | NaN | 351306.0 | NaN | 13.0 | 2020-07-16 09:02:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 240.0 | NaN |
| 427 | 4163938 | NaN | 1.00 | 60644879 | 797407.0 | 20.0 | NaN | 412196.0 | NaN | 13.0 | 2020-07-16 06:52:00 | 927209.0 | 2.002025e+09 | NaN | 5753490.0 | 60.0 | NaN | 3144627.0 | NaN | NaN | 237.0 | NaN |